Table 3.
Risk assessment
Actual results |
|||
---|---|---|---|
Test prediction | Develops psychosis | Does not develop psychosis | Total |
At risk for psychosis | 120 | 240 | 360 |
Not at risk for psychosis | 80 | 560 | 640 |
Total | 200 | 800 | 1000 |
Applying the same criteria to a help-seeking clinical population at a higher risk of a psychotic disorder will reduce the proportion of false-positive results. Assuming that in a clinical help-seeking population that the risk of psychosis is much higher than the general population risk, for example, 20 of every 100 individuals will ultimately develop schizophrenia or a psychotic mood disorder. This means that of 1000 individuals, 200 will develop a psychotic disorder and 800 will not. Assuming that the sensitivity of the at-risk criteria is 60%, this means that the criteria will correctly identify 120 but miss 80 individuals truly at risk. Assuming that the specificity is 60%, the test will correctly identify 560 individuals as not at risk, but will misclassify 240 individuals as at risk, even though they are truly not at risk.